文献类型：期刊文献

中文题名：城市森林社会化服务功能评估体系探讨——基于市民获益视角的分析

英文题名：Discussion on the Assessment System of the Social Service Function of Urban Forests —— Analysis from the Perspective of Citizen Benefit

作者：赵正[1] 刘云龙[2] 温亚利[3]

第一作者：赵正

机构：[1]上海师范大学旅游学院,上海200234;[2]中国林业科学研究院党群工作部,北京100091;[3]北京林业大学经济管理学院,北京100083

年份：2019

卷号：0

期号：4

起止页码：1-9

中文期刊名：林业资源管理

外文期刊名：Forest Resources Management

收录：北大核心:【北大核心2017】；

基金：北京市园林绿化法治进程和效果监测研究(20150924)

语种：中文

中文关键词：城市森林;城市森林功能;市民;熵值法;模糊综合评价法

外文关键词：urban forest;urban forest function;citizens;entropy method;fuzzy comprehensive evaluation method

分类号：S718.56

摘要：结合城市森林的社会属性和市民的价值属性提炼出4个典型的城市森林功能类型,基于已有研究成果和北京市的实际情况构建了城市森林功能评价指标体系,在此基础上利用熵值法对各项功能的重要性进行讨论,采用模糊综合评价法和等级参数评价法对城市森林功能的总体水平进行综合评价和打分,采用单因素方差分析法对不同市民特征下城市森林功能的差异性评价结果进行进一步探讨。研究结果表明:(1)市民最看重的是城市森林给市民在教育文化方面带来的裨益,而非城市森林在传统意义上的健康功能;(2)市民认为城市森林功能仍处于中等偏下水平,尤其是教育文化功能发挥不佳;(3)市民对各类城市森林功能的评价会因年龄、学历、月收入、居住区位和居京年限等因素而体现出显著性差异。
In this study,four typical types of urban forest function were extracted from the social attributes of urban forests and the value attributes of citizens.Based on the existing research results and the actual situation of Beijing,an evaluation index system of urban forest function was constructed.On this basis,the importance of each function is discussed by using the method of entropy value,the overall level of urban forest function is evaluated and scored by using the method of fuzzy comprehensive evaluation and grade parameter evaluation,and the difference evaluation results of urban forest function under different citizen characteristics are evaluated by using the method of one-way ANOVA.The results show that:(1)Citizens value the benefits of urban forests in terms of education and culture,rather than the traditional health functions of urban forests;(2)Citizens believe that the function of urban forest is still in the lower middle level,especially the function of education and culture is not well developed;(3)Citizens′evaluation of urban forest function shows significant differences due to age,educational background,monthly income,residential location and length of residence in Beijing.